Data Engineer: Azure/Snowflake Ingestion & Pipelines

Ascendion; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Ascendion in Singapore is seeking a Data Engineer to modernize data ingestion and migrate legacy ETL processes to MS Azure and Snowflake. This hands-on role focuses on building reliable production pipelines and reusable components that improve data delivery across the organization.

You will redesign ingestion patterns, implement batch and near-real-time pipelines, and work with data architects, analysts, and business stakeholders to deliver scalable data solutions.

Qualifications

• 3–6 years of data engineering experience.
• Production data pipelines on MS Azure.
• Azure Data Factory and/or Synapse Pipelines experience.
• SQL for building and troubleshooting pipelines.
• Python for data processing and pipelines.
• Data ingestion and lakehouse concepts.
• Source control and deployment processes.
• Diagnosing and resolving production data pipeline issues.
• Effective communication with technical and business stakeholders.

Responsibilities

• Own production data ingestion solutions from design to monitoring and improvement.
• Modernize legacy ETL/ELT workloads using Azure and Snowflake.
• Build batch, incremental, and near-real-time pipelines across databases, APIs, files, and event-based sources.
• Develop workflows using Azure Data Factory and/or Synapse Pipelines.
• Build reliable loading patterns with CDC, schema changes, retries, and backfills.
• Develop reusable Python utilities, libraries, and ingestion components.
• Use Azure Databricks/Apache Spark where appropriate for data processing.
• Build and support Snowflake ingestion and raw-to-curated structures.
• Improve data quality and production reliability through validation, logging, monitoring, and alerting.
• Contribute to CI/CD, code reviews, security controls, and engineering standards.
• Collaborate with data architects, analysts, platform teams, and stakeholders to turn data requirements into production solutions.

Tools

Azure Data Factory

Synapse Pipelines

Python

SQL

Snowflake

Azure Databricks

ETL/ELT

Source Control

CI/CD

Data Ingestion

Data Lake/Lakehouse

Job description

Ascendion in Singapore is seeking a Data Engineer to modernize data ingestion and migrate legacy ETL processes to MS Azure and Snowflake. This hands-on role focuses on building reliable production pipelines and reusable components that improve data delivery across the organization.

You will redesign ingestion patterns, implement batch and near-real-time pipelines, and work with data architects, analysts, and business stakeholders to deliver scalable data solutions.